Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features

Timo Ahonen; Jiřı́ Matas; Chu He; Matti Pietikäinen

doi:10.1007/978-3-642-02230-2_7

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Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features

Timo Ahonen Jiřı́ Matas Chu He Matti Pietikäinen

Year: 2009 Lecture notes in computer science Pages: 61-70 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-02230-2_7

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Keywords:

Local binary patterns Pattern recognition (psychology) Artificial intelligence Histogram Invariant (physics) Discriminative model Mathematics Fourier transform Binary number Computer vision Computer science Image (mathematics) Mathematical analysis

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Topics

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features

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Citation History

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